Research on Image Completion by Solving Poisson Equation and Gradient
Jiwen Wang · Computer Technology and Development · 2008
Presents a novel gradient-based image completion algorithm for removing significant objects from natural images or photographs.The method reconstructs the region of removal in two phases.Firstly,the gradient maps in the removed area are completed through a patch based on filling algorithm.After that,the image is reconstructed from the gradient maps by solving a Poisson equation.A new patch-matching criterion is developed in approach to govern the completion of gradient maps.Both the gradient and the color information are incorporated in this new criterion,so a better image completion result is obtained.Several examples and comparisons are given at the end of the paper to demonstrate the performance of gradient-based image completion approach.